Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use mnpinto/TEST2ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mnpinto/TEST2ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mnpinto/TEST2ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1243eaa4ec0f114be5dd0aca632e0871fc334d0cbdf7dcb65d9a068f6c358ec3
- Size of remote file:
- 144 kB
- SHA256:
- 075b2897015b2de6afc5b7593cca95b61696f7333fc5bebbdf57d951692a266c
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